SUMOylation orchestrates a metastable heterochromatin state on a MORC3-responsive element to silence IFNB1 at a distance [RNA-seq]
RNA-seq (gene expression) · human · 17 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Homo sapiens (human)
- Samples
- 17 samples: 5 conditions, mostly in triplicateGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- SUMO operates from a unique long tandem repeat to keep innate immunity in checkNucleic acids research · 2025
Read the full summary ↓
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE292572_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1240234 and SRA study SRP572184. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 17 samples.
How we read this: 5 replicated groups read from 17 sample titles; they account for 17 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM8861736 BlaER1, WT, DMSO, REP1 BlaER1, WT, DMSO,
- GSM8861737 BlaER1, WT, DMSO, REP2 BlaER1, WT, DMSO,
- GSM8861738 BlaER1, WT, DMSO, REP3 BlaER1, WT, DMSO,
- GSM8861739 BlaER1, WT, DMSO, REP4 BlaER1, WT, DMSO,
- GSM8861740 BlaER1, WT, TAK, REP1 BlaER1, WT, TAK,
- GSM8861741 BlaER1, WT, TAK, REP2 BlaER1, WT, TAK,
- GSM8861742 BlaER1, WT, TAK, REP3 BlaER1, WT, TAK,
- GSM8861743 BlaER1, WT, TAK, REP4 BlaER1, WT, TAK,
- GSM8861744 BlaER1, IFNAR, DMSO, REP1 BlaER1, IFNAR, DMSO,
- GSM8861745 BlaER1, IFNAR, DMSO, REP2 BlaER1, IFNAR, DMSO,
- GSM8861746 BlaER1, IFNAR, DMSO, REP3 BlaER1, IFNAR, DMSO,
- GSM8861747 BlaER1, IFNAR, TAK, REP1 BlaER1, IFNAR, TAK,
- GSM8861748 BlaER1, IFNAR, TAK, REP2 BlaER1, IFNAR, TAK,
- GSM8861749 BlaER1, IFNAR, TAK, REP3 BlaER1, IFNAR, TAK,
- GSM8861750 BlaER1, IFNAR MORC3, DMSO, REP1 BlaER1, IFNAR MORC3, DM…
- GSM8861751 BlaER1, IFNAR MORC3, DMSO, REP2 BlaER1, IFNAR MORC3, DM…
- GSM8861752 BlaER1, IFNAR MORC3, DMSO, REP3 BlaER1, IFNAR MORC3, DM…
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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.